Particle Swarm Optimization with Smart Inertia Factor for Combined Heat and Power Economic Dispatch

International Journal of Smart Electrical Engineering

مقاله 7، دوره 04، شماره 04، اسفند 2015، صفحه 197-202   

نوع مقاله: Research Paper

نویسندگان

Naser Ghorbani^{* 1}؛ Babak Adham²؛ Payam Farhadi³

¹Eastern Azarbayjan Electric Power Distribution Company ,Tabriz,Iran

²Eastern Azarbayjan Electric Power Distribution Company ,Tabriz, Iran

³Young Researchers and Elite Club, Islamic Azad University,Parsabad , Iran

چکیده

In this paper particle swarm optimization with smart inertia factor (PSO-SIF) algorithm is proposed to solve combined heat and power economic dispatch (CHPED) problem. The CHPED problem is one of the most important problems in power systems and is a challenging non-convex and non-linear optimization problem. The aim of solving CHPED problem is to determine optimal heat and power of generating units with the minimized cost of total system and satisfied constraints of problem. In proposed algorithm inertia coefficients are controlled with respect to cost function in each population. So, each population has unique inertia coefficient and as a result unique velocity in convergent direction for the best group solution. In order to examine the proposed algorithm's capabilities and find optimum solution for CHPED problem, two test systems considering valve-point effect, system power loss and system constraints are optimized. The obtained results demonstrate the superiority of the proposed method in solving non-convex CHPED problem over other new and efficient algorithms.

کلیدواژه‌ها

Combined heat and power؛ Economic dispatch؛ Non-convex؛ particle swarm optimization